TGIF2LY

mutation — cross-omics
Cross-omicsMUTATION → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, TGIF2LY mutation is significantly associated with the RNA expression of many other genes, with 73 significant associations in total. SKCM shows the largest number of these associations.

The most reproducible TGIF2LY-associated genes across cancer lineages are RNU6-573P, LINC02509, and TTTY7. Each is linked with TGIF2LY in more than 1 cancer types. Because this analysis shows association rather than direction, both TGIF2LY-to-partner and partner-to-TGIF2LY results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNU6-573P grouped by TGIF2LY-low versus TGIF2LY-high in LGG.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (TGIF2LY→partner) and Y-score (partner→TGIF2LY) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LGGRNU6-573P →+0.338+7.977<.001.00732
STADLINC02509 →+0.091+5.274.001.00632
LUSCTTTY7 →+0.052+7.327<.001<.00132
COADGGCTP3 →+0.380+4.037<.001.00431
COADMTCYBP7 →+0.082+4.666<.001.00531
COADLSM3P4 →+0.442+4.624.002.00131
Each partner links to its Q-omics profile. Showing the 6 strongest of 73 associations by consensus.

RNU6-573P by TGIF2LY expression — LGG

Box plot of RNU6-573P in TGIF2LY-low vs TGIF2LY-high samples in LGG.

Explore this box plot interactively →

Exploration